Training program on sign language: social inclusion through Virtual Reality in ISENSE project
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arXiv
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| Format: | Preprint |
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2024
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| author | Bisio, Alessia Yeguas-Bolívar, Enrique Aparicio-Martínez, Pilar Redel-Macías, María Dolores Pinzi, Sara Rossi, Stefano Taborri, Juri |
| author_facet | Bisio, Alessia Yeguas-Bolívar, Enrique Aparicio-Martínez, Pilar Redel-Macías, María Dolores Pinzi, Sara Rossi, Stefano Taborri, Juri |
| contents | Structured hand gestures that incorporate visual motions and signs are used in sign language. Sign language is a valuable means of daily communication for individuals who are deaf or have speech impairments, but it is still rare among hearing people, and fewer are capable of understand it. Within the academic context, parents and teachers play a crucial role in supporting deaf students from childhood by facilitating their learning of sign language. In the last years, among all the teaching tools useful for learning sign language, the use of Virtual Reality (VR) has increased, as it has been demonstrated to improve retention, memory and attention during the learning process. The ISENSE project has been created to assist students with deafness during their academic life by proposing different technological tools for teaching sign language to the hearing community in the academic context. As part of the ISENSE project, this work aims to develop an application for Spanish and Italian sign language recognition that exploits the VR environment to quickly and easily create a comprehensive database of signs and an Artificial Intelligence (AI)-based software to accurately classify and recognize static and dynamic signs: from letters to sentences. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_08714 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Training program on sign language: social inclusion through Virtual Reality in ISENSE project Bisio, Alessia Yeguas-Bolívar, Enrique Aparicio-Martínez, Pilar Redel-Macías, María Dolores Pinzi, Sara Rossi, Stefano Taborri, Juri Human-Computer Interaction Artificial Intelligence Computer Vision and Pattern Recognition Graphics Structured hand gestures that incorporate visual motions and signs are used in sign language. Sign language is a valuable means of daily communication for individuals who are deaf or have speech impairments, but it is still rare among hearing people, and fewer are capable of understand it. Within the academic context, parents and teachers play a crucial role in supporting deaf students from childhood by facilitating their learning of sign language. In the last years, among all the teaching tools useful for learning sign language, the use of Virtual Reality (VR) has increased, as it has been demonstrated to improve retention, memory and attention during the learning process. The ISENSE project has been created to assist students with deafness during their academic life by proposing different technological tools for teaching sign language to the hearing community in the academic context. As part of the ISENSE project, this work aims to develop an application for Spanish and Italian sign language recognition that exploits the VR environment to quickly and easily create a comprehensive database of signs and an Artificial Intelligence (AI)-based software to accurately classify and recognize static and dynamic signs: from letters to sentences. |
| title | Training program on sign language: social inclusion through Virtual Reality in ISENSE project |
| topic | Human-Computer Interaction Artificial Intelligence Computer Vision and Pattern Recognition Graphics |
| url | https://arxiv.org/abs/2401.08714 |